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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 7516
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    WARN
    -0.72
    track
    -0.68
    00007
    -0.64
    lu
    -0.62
     eb
    -0.62
    ALLY
    -0.61
    emis
    -0.61
    naire
    -0.61
    istically
    -0.61
    board
    -0.60
    POSITIVE LOGITS
    ashing
    0.72
    mberg
    0.71
    ashes
    0.71
    querque
    0.70
    yre
    0.67
    oshenko
    0.67
    qus
    0.65
    gren
    0.65
     captcha
    0.64
    brook
    0.63
    Activations Density 0.000%

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